Recent H2O World event showcased its open-source, scalable machine learning in the cloud, intended for people familiar with R but limited by its scalability. H2O can run on Hadoop and also on Apache Spark.

We discuss the emergence of Optical Analytics, its impact on NBA, challenges in integrating Optical Analytics into game strategy, the trade-off of analytical insights vs gut instinct and the impact on fan engagement.

We discuss what distinguishes Azure ML from its intense competition, the online machine learning university, current maturity level of Big Data solutions, important skills for data scientists and more.

Lipika Dey, in this interview before her talk at next month's LT-Accelerate conference, discusses consumer and market analytics and techniques to extract actionable information from text and social media data.

Hiring talented quants requires an up-to-date hiring process including components like competitive salaries, special bonuses, expedient timelines, and that extra special touch to make your company stand out to quality candidates.

Machine Learning expert Michael Jordan is dismayed by the misleading "The Delusions of Big Data" title given to his interview, says Big Data not a delusion, but transformative, changing academia and society.

A look at business intelligence in the year to come, in light of the latest developments in the industry: data keeps growing, companies demand self-service and agile software, and in-memory technology is forced to face its limitations.

Strata + Hadoop World this year included workshops on subjects like Spark, R, and Python, interesting keynotes, and impressive detailed technical talks on subjects on Hadoop and new trends in big data.